9bbe95648c
Full implementation of Project AETHER — Contrastive CSI Embedding Model. ## Phases Delivered 1. ProjectionHead (64→128→128) + L2 normalization 2. CsiAugmenter (5 physically-motivated augmentations) 3. InfoNCE contrastive loss + SimCLR pretraining 4. FingerprintIndex (4 index types: env, activity, temporal, person) 5. RVF SEG_EMBED (0x0C) + CLI integration 6. Cross-modal alignment (PoseEncoder + InfoNCE) 7. Deep RuVector: MicroLoRA, EWC++, drift detection, hard-negative mining, SEG_LORA ## Stats - 276 tests passing (191 lib + 51 bin + 16 rvf + 18 vitals) - 3,342 additions across 8 files - Zero unsafe/unwrap/panic/todo stubs - ~55KB INT8 model for ESP32 edge deployment Also fixes deprecated GitHub Actions (v3→v4) and adds feat/* branch CI triggers. Closes #50
wifi-densepose-config
Configuration management for the WiFi-DensePose pose estimation system.
Overview
wifi-densepose-config provides a unified configuration layer that merges values from environment
variables, TOML/YAML files, and CLI overrides into strongly-typed Rust structs. Built on the
config, dotenvy, and
envy ecosystem from the workspace.
Status: This crate is currently a stub. The intended API surface is documented below.
Planned Features
- Multi-source loading -- Merge configuration from
.env, TOML files, YAML files, and environment variables with well-defined precedence. - Typed configuration -- Strongly-typed structs for server, signal processing, neural network, hardware, and database settings.
- Validation -- Schema validation with human-readable error messages on startup.
- Hot reload -- Watch configuration files for changes and notify dependent services.
- Profile support -- Named profiles (
development,production,testing) with per-profile overrides. - Secret filtering -- Redact sensitive values (API keys, database passwords) in logs and debug output.
Quick Start
// Intended usage (not yet implemented)
use wifi_densepose_config::AppConfig;
fn main() -> anyhow::Result<()> {
// Loads from env, config.toml, and CLI overrides
let config = AppConfig::load()?;
println!("Server bind: {}", config.server.bind_address);
println!("CSI sample rate: {} Hz", config.signal.sample_rate);
println!("Model path: {}", config.nn.model_path.display());
Ok(())
}
Planned Configuration Structure
# config.toml
[server]
bind_address = "0.0.0.0:3000"
websocket_path = "/ws/poses"
[signal]
sample_rate = 100
subcarrier_count = 56
hampel_window = 5
[nn]
model_path = "./models/densepose.rvf"
backend = "ort" # ort | candle | tch
batch_size = 8
[hardware]
esp32_udp_port = 5005
serial_baud = 921600
[database]
url = "sqlite://data/wifi-densepose.db"
max_connections = 5
Related Crates
| Crate | Role |
|---|---|
wifi-densepose-core |
Shared types and traits |
wifi-densepose-api |
REST API (consumer) |
wifi-densepose-db |
Database layer (consumer) |
wifi-densepose-cli |
CLI (consumer) |
wifi-densepose-sensing-server |
Sensing server (consumer) |
License
MIT OR Apache-2.0